Temma 7B V0 by Ksgk-fy

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  4-bit   Autotrain compatible   Bitsandbytes   Conversational   Dataset:abirate/english quotes   Endpoints compatible   Gemma   Gemma-7b   Region:us   Safetensors   Sft   Sharded   Temus   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Ksgk-fy/temma_7B_v0 

Temma 7B V0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Temma 7B V0 (Ksgk-fy/temma_7B_v0)
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Temma 7B V0 Parameters and Internals

Model Type 
SFT
Training Details 
Data Sources:
Abirate/english_quotes
LLM NameTemma 7B V0
Repository ๐Ÿค—https://huggingface.co/Ksgk-fy/temma_7B_v0 
Model Size7b
Required VRAM7.6 GB
Updated2025-09-14
MaintainerKsgk-fy
Model Typegemma
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Ksgk-fy/temma_7B_v0.

Rank the Temma 7B V0 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124